The author of the text, Mark Needham, has been using various NLP libraries to derive topics for his corpus of How I Met Your Mother episodes without success. He then discovered Prismatic's Interest Graph API, which exposes a web service that takes a block of text as input and returns a set of topics and associated scores. The API is trained on millions of articles shared on social media accounts and has been useful in finding new material to read. Mark uses Python to call the API and requests library to make the calls. He first loads data from CSV files containing episode information, sentences related to each episode, and topic scores. After processing this data, he links episodes with topics using Neo4j, a graph database. The resulting graph shows relationships between episodes and topics, including topics in common and seasons where these topics appear.